{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Network Traffic Forecasting with AutoTSEstimator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In telco, accurate forecast of KPIs (e.g. network traffic, utilizations, user experience, etc.) for communication networks ( 2G/3G/4G/5G/wired) can help predict network failures, allocate resource, or save energy. \n",
    "\n",
    "In this notebook, we demostrate a reference use case where we use the network traffic KPI(s) in the past to predict traffic KPI(s) in the future. We demostrate how to use `AutoTS` in project [Chronos](https://github.com/intel-analytics/bigdl/tree/branch-2.0/python/chronos/src/bigdl/chronos) to do time series forecasting in an automated and distributed way.\n",
    "\n",
    "For demonstration, we use the publicly available network traffic data repository maintained by the [WIDE project](http://mawi.wide.ad.jp/mawi/) and in particular, the network traffic traces aggregated every 2 hours (i.e. AverageRate in Mbps/Gbps and Total Bytes) in year 2018 and 2019 at the transit link of WIDE to the upstream ISP ([dataset link](http://mawi.wide.ad.jp/~agurim/dataset/)). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download raw dataset and load into dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we download the dataset and load it into a pandas dataframe. Steps are as below. \n",
    "\n",
    "* First, run the script `get_data.sh` to download the raw data. It will download the monthly aggregated traffic data in year 2018 and 2019 into `data` folder. The raw data contains aggregated network traffic (average MBPs and total bytes) as well as other metrics. \n",
    "\n",
    "* Second, run `extract_data.sh` to extract relavant traffic KPI's from raw data, i.e. `AvgRate` for average use rate, and `total` for total bytes. The script will extract the KPI's with timestamps into `data/data.csv`.\n",
    "\n",
    "* Finally, use pandas to load `data/data.csv` into a dataframe as shown below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-05T09:42:30.934219Z",
     "start_time": "2020-04-05T09:42:30.324968Z"
    }
   },
   "outputs": [],
   "source": [
    "import os \n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-05T09:42:30.948562Z",
     "start_time": "2020-04-05T09:42:30.935369Z"
    }
   },
   "outputs": [],
   "source": [
    "raw_df = pd.read_csv(\"data/data.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below are some example records of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-05T09:42:31.060336Z",
     "start_time": "2020-04-05T09:42:30.949794Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>StartTime</th>\n",
       "      <th>EndTime</th>\n",
       "      <th>AvgRate</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018/01/01 00:00:00</td>\n",
       "      <td>2018/01/01 02:00:00</td>\n",
       "      <td>306.23Mbps</td>\n",
       "      <td>275605455598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018/01/01 02:00:00</td>\n",
       "      <td>2018/01/01 04:00:00</td>\n",
       "      <td>285.03Mbps</td>\n",
       "      <td>256527692256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018/01/01 04:00:00</td>\n",
       "      <td>2018/01/01 06:00:00</td>\n",
       "      <td>247.39Mbps</td>\n",
       "      <td>222652190823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018/01/01 06:00:00</td>\n",
       "      <td>2018/01/01 08:00:00</td>\n",
       "      <td>211.55Mbps</td>\n",
       "      <td>190396029658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018/01/01 08:00:00</td>\n",
       "      <td>2018/01/01 10:00:00</td>\n",
       "      <td>234.82Mbps</td>\n",
       "      <td>211340468977</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             StartTime              EndTime     AvgRate         total\n",
       "0  2018/01/01 00:00:00  2018/01/01 02:00:00  306.23Mbps  275605455598\n",
       "1  2018/01/01 02:00:00  2018/01/01 04:00:00  285.03Mbps  256527692256\n",
       "2  2018/01/01 04:00:00  2018/01/01 06:00:00  247.39Mbps  222652190823\n",
       "3  2018/01/01 06:00:00  2018/01/01 08:00:00  211.55Mbps  190396029658\n",
       "4  2018/01/01 08:00:00  2018/01/01 10:00:00  234.82Mbps  211340468977"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data pre-processing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we need to do data cleaning and preprocessing on the raw data. Note that this part could vary for different dataset. \n",
    "\n",
    "For the network traffic data we're using, the processing contains 2 parts:\n",
    "1. Convert string datetime to TimeStamp\n",
    "2. Unify the measurement scale for `AvgRate` value - some uses Mbps, some uses Gbps "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-05T09:42:31.439100Z",
     "start_time": "2020-04-05T09:42:31.433819Z"
    }
   },
   "outputs": [],
   "source": [
    "df = pd.DataFrame(pd.to_datetime(raw_df.StartTime))\n",
    "\n",
    "# we can find 'AvgRate' is of two scales: 'Mbps' and 'Gbps'\n",
    "raw_df.AvgRate.str[-4:].unique() \n",
    "\n",
    "# Unify AvgRate value\n",
    "df['AvgRate'] = raw_df.AvgRate.apply(lambda x:float(x[:-4]) if x.endswith(\"Mbps\") else float(x[:-4])*1000)\n",
    "\n",
    "df[\"total\"] = raw_df[\"total\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-05T09:42:31.619691Z",
     "start_time": "2020-04-05T09:42:31.614336Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>StartTime</th>\n",
       "      <th>AvgRate</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-01-01 00:00:00</td>\n",
       "      <td>306.23</td>\n",
       "      <td>275605455598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-01-01 02:00:00</td>\n",
       "      <td>285.03</td>\n",
       "      <td>256527692256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-01-01 04:00:00</td>\n",
       "      <td>247.39</td>\n",
       "      <td>222652190823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-01-01 06:00:00</td>\n",
       "      <td>211.55</td>\n",
       "      <td>190396029658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-01-01 08:00:00</td>\n",
       "      <td>234.82</td>\n",
       "      <td>211340468977</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            StartTime  AvgRate         total\n",
       "0 2018-01-01 00:00:00   306.23  275605455598\n",
       "1 2018-01-01 02:00:00   285.03  256527692256\n",
       "2 2018-01-01 04:00:00   247.39  222652190823\n",
       "3 2018-01-01 06:00:00   211.55  190396029658\n",
       "4 2018-01-01 08:00:00   234.82  211340468977"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-05T09:42:33.292662Z",
     "start_time": "2020-04-05T09:42:33.280539Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AvgRate</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8760.000000</td>\n",
       "      <td>8.760000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>454.070611</td>\n",
       "      <td>4.085273e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>238.371572</td>\n",
       "      <td>2.146467e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>86.490000</td>\n",
       "      <td>8.641890e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>273.715000</td>\n",
       "      <td>2.460014e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>410.670000</td>\n",
       "      <td>3.694583e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>558.200000</td>\n",
       "      <td>5.023054e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1760.000000</td>\n",
       "      <td>1.585238e+12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           AvgRate         total\n",
       "count  8760.000000  8.760000e+03\n",
       "mean    454.070611  4.085273e+11\n",
       "std     238.371572  2.146467e+11\n",
       "min      86.490000  8.641890e+09\n",
       "25%     273.715000  2.460014e+11\n",
       "50%     410.670000  3.694583e+11\n",
       "75%     558.200000  5.023054e+11\n",
       "max    1760.000000  1.585238e+12"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the data to see how the KPI's look like"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-05T09:42:33.826495Z",
     "start_time": "2020-04-05T09:42:33.641397Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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199.468846 \nL 100.943186 229.766277 \nL 101.151678 255.442317 \nL 101.290673 209.083703 \nL 101.36017 209.790938 \nL 101.429668 197.152244 \nL 101.63816 217.238319 \nL 101.707657 212.989001 \nL 101.985646 252.876189 \nL 102.263636 195.339123 \nL 102.402631 205.853158 \nL 102.472128 198.802952 \nL 102.541625 201.203713 \nL 102.819615 244.872175 \nL 102.958609 205.427931 \nL 103.028107 210.939642 \nL 103.097604 201.786924 \nL 103.167101 203.895342 \nL 103.236599 201.785448 \nL 103.584085 255.594395 \nL 103.653583 258.41743 \nL 103.931572 220.541211 \nL 104.00107 224.329867 \nL 104.140064 219.379219 \nL 104.279059 228.796228 \nL 104.487551 257.468052 \nL 104.76554 233.318695 \nL 104.835038 239.134562 \nL 104.904535 236.06643 \nL 104.974032 230.963705 \nL 105.04353 233.227153 \nL 105.113027 233.97573 \nL 105.182524 239.125703 \nL 105.321519 257.380939 \nL 105.669006 199.967897 \nL 105.738503 216.029079 \nL 105.808001 215.558081 \nL 105.877498 209.715638 \nL 106.155487 237.314058 \nL 106.433477 208.775118 \nL 106.641969 223.559143 \nL 106.711466 223.334717 \nL 106.919958 257.882943 \nL 106.989456 256.071299 \nL 107.12845 208.673241 \nL 107.197948 210.356431 \nL 107.267445 199.38321 \nL 107.336942 199.793672 \nL 107.545434 224.124636 \nL 107.823424 259.326944 \nL 108.101413 209.684632 \nL 108.17091 208.665858 \nL 108.309905 229.645206 \nL 108.379402 223.638873 \nL 108.4489 228.880387 \nL 108.657392 260.208404 \nL 108.865884 206.814349 \nL 108.935381 209.492689 \nL 109.004879 209.934157 \nL 109.143873 232.846221 \nL 109.213371 229.981844 \nL 109.282868 225.437229 \nL 109.49136 254.033752 \nL 109.769349 222.685065 \nL 109.908344 231.199942 \nL 109.977841 219.606598 \nL 110.325328 261.018993 \nL 110.603318 229.320379 \nL 110.672815 227.325651 \nL 110.742312 230.97404 \nL 110.81181 226.928477 \nL 110.881307 230.212175 \nL 111.089799 259.013929 \nL 111.159296 258.578367 \nL 111.437286 198.9004 \nL 111.645778 226.224194 \nL 111.715275 228.366571 \nL 111.784773 219.188753 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194.924231 \nL 118.248026 221.878905 \nL 118.317523 215.903578 \nL 118.595513 262.688895 \nL 118.734507 251.508966 \nL 118.873502 218.345681 \nL 119.012497 209.089609 \nL 119.081994 210.728505 \nL 119.151491 227.127802 \nL 119.220989 224.682746 \nL 119.290486 225.429847 \nL 119.429481 255.278427 \nL 119.498978 256.591021 \nL 119.70747 209.032026 \nL 119.776968 219.47962 \nL 119.846465 222.408962 \nL 119.915962 230.632973 \nL 119.98546 223.048279 \nL 120.332946 250.307109 \nL 120.402444 245.313643 \nL 120.610936 209.740738 \nL 120.680433 212.163647 \nL 120.74993 225.546489 \nL 120.819428 220.014107 \nL 120.888925 215.6762 \nL 120.958423 216.386388 \nL 121.166915 258.25354 \nL 121.305909 222.769224 \nL 121.375407 168.37559 \nL 121.444904 171.353656 \nL 121.514401 174.21508 \nL 121.583899 221.762263 \nL 121.653396 211.162591 \nL 121.722893 149.138493 \nL 121.792391 199.979709 \nL 121.861888 184.139999 \nL 121.931385 164.448145 \nL 122.07038 232.987963 \nL 122.209375 229.877013 \nL 122.278872 231.520339 \nL 122.417867 203.422867 \nL 122.487364 217.582339 \nL 122.556862 202.511877 \nL 122.765354 241.663777 \nL 122.834851 235.182017 \nL 122.973846 120.308685 \nL 123.043343 145.408897 \nL 123.11284 213.502817 \nL 123.182338 210.700452 \nL 123.251835 216.458736 \nL 123.39083 197.543512 \nL 123.599322 257.955291 \nL 123.668819 256.821352 \nL 123.946808 170.856081 \nL 124.155301 210.98689 \nL 124.224798 204.748749 \nL 124.502787 255.945798 \nL 124.711279 204.773849 \nL 124.780777 214.20267 \nL 124.850274 209.959258 \nL 124.919771 207.989629 \nL 124.989269 226.63761 \nL 125.058766 214.403471 \nL 125.128263 221.091939 \nL 125.336755 259.402244 \nL 125.47575 218.54353 \nL 125.545247 223.721556 \nL 125.684242 212.525385 \nL 125.75374 212.980142 \nL 126.031729 244.012862 \nL 126.101226 259.260502 \nL 126.170724 252.148283 \nL 126.448713 210.359384 \nL 126.51821 212.702563 \nL 126.587708 179.657397 \nL 126.657205 191.396913 \nL 126.7962 210.437638 \nL 126.935194 254.754276 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208.689482 \nL 131.661014 225.255622 \nL 131.730511 222.434063 \nL 131.939004 259.913107 \nL 132.147496 227.445246 \nL 132.216993 255.891168 \nL 132.355988 211.847679 \nL 132.425485 233.732111 \nL 132.494982 228.617573 \nL 132.56448 227.60323 \nL 132.842469 255.846873 \nL 133.189956 227.064313 \nL 133.259453 235.80214 \nL 133.32895 234.073178 \nL 133.398448 232.181803 \nL 133.676437 259.732976 \nL 133.745935 256.053581 \nL 133.815432 232.948098 \nL 133.884929 244.076351 \nL 134.023924 223.728938 \nL 134.093421 237.091109 \nL 134.162919 224.944084 \nL 134.232416 230.14721 \nL 134.440908 257.29235 \nL 134.510405 255.826202 \nL 134.718897 212.525385 \nL 134.788395 212.99786 \nL 134.857892 223.401159 \nL 134.927389 204.846197 \nL 135.274876 256.489143 \nL 135.344374 263.216 \nL 135.483368 227.491017 \nL 135.552866 228.164293 \nL 135.69186 216.052703 \nL 135.900352 229.77366 \nL 136.039347 248.489558 \nL 136.178342 262.685943 \nL 136.525828 216.684638 \nL 136.595326 225.824068 \nL 136.664823 222.685065 \nL 136.803818 228.77851 \nL 137.01231 250.38241 \nL 137.220802 220.045113 \nL 137.290299 216.761415 \nL 137.429294 228.573279 \nL 137.498791 220.561882 \nL 137.568289 226.659757 \nL 137.637786 221.249923 \nL 137.846278 252.492304 \nL 138.05477 207.133269 \nL 138.124268 201.274584 \nL 138.263262 222.85929 \nL 138.33276 216.055656 \nL 138.402257 212.014522 \nL 138.680246 271.87262 \nL 138.958236 238.7492 \nL 139.09723 254.408779 \nL 139.166728 249.199747 \nL 139.236225 237.788009 \nL 139.305722 240.484067 \nL 139.514214 271.330751 \nL 139.792204 245.632564 \nL 139.861701 252.626664 \nL 139.931199 256.585115 \nL 140.070193 246.047455 \nL 140.278685 268.823682 \nL 140.348183 269.359646 \nL 140.695669 232.612936 \nL 140.765167 245.572028 \nL 140.834664 237.776198 \nL 140.904161 238.251625 \nL 141.112653 272.807234 \nL 141.182151 270.283924 \nL 141.390643 230.683173 \nL 141.46014 228.506837 \nL 141.529638 228.520126 \nL 141.877124 260.581954 \nL 141.946622 272.212211 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232.834409 \nL 146.672441 236.088577 \nL 146.741939 232.345693 \nL 146.950431 270.673716 \nL 147.019928 266.933784 \nL 147.297917 189.580839 \nL 147.436912 224.38302 \nL 147.575907 220.47477 \nL 147.853896 270.418284 \nL 148.131886 211.896403 \nL 148.201383 215.99512 \nL 148.409875 234.020025 \nL 148.479372 237.312582 \nL 148.687864 269.130791 \nL 148.965854 200.683991 \nL 149.174346 209.572419 \nL 149.243843 214.489107 \nL 149.452335 264.515305 \nL 149.521833 259.569087 \nL 149.730325 171.186814 \nL 149.799822 187.240613 \nL 149.869319 188.706761 \nL 149.938817 200.627885 \nL 150.077811 190.026737 \nL 150.355801 260.014985 \nL 150.63379 207.136222 \nL 150.703288 226.132652 \nL 150.772785 226.060305 \nL 150.842282 216.711214 \nL 151.050774 245.709341 \nL 151.189769 264.426716 \nL 151.745748 220.570741 \nL 151.884742 251.026156 \nL 152.023737 265.153146 \nL 152.301727 143.932414 \nL 152.510219 214.602797 \nL 152.649213 227.024448 \nL 152.788208 266.538087 \nL 152.857705 264.757448 \nL 153.066197 129.167583 \nL 153.135695 138.026482 \nL 153.622176 260.646919 \nL 153.691673 259.883578 \nL 153.900166 156.737951 \nL 153.969663 165.794698 \nL 154.108658 228.146575 \nL 154.247652 197.93478 \nL 154.456144 270.356272 \nL 154.525642 261.491468 \nL 154.734134 148.333809 \nL 154.873128 180.648117 \nL 154.942626 215.878478 \nL 155.012123 204.775326 \nL 155.08162 204.136009 \nL 155.35961 266.960361 \nL 155.568102 138.026482 \nL 155.637599 142.455931 \nL 155.776594 201.091501 \nL 155.846091 188.158986 \nL 155.985086 204.618818 \nL 156.054583 198.532755 \nL 156.193578 257.194902 \nL 156.263075 239.704484 \nL 156.471567 211.423929 \nL 156.541065 223.575384 \nL 156.680059 214.675144 \nL 156.749557 215.017688 \nL 156.958049 264.716107 \nL 157.027546 262.167697 \nL 157.097044 260.218739 \nL 157.305536 237.448418 \nL 157.44453 227.538264 \nL 157.514028 234.036266 \nL 157.583525 227.536788 \nL 157.653022 229.205214 \nL 157.792017 264.993685 \nL 157.931012 236.302668 \nL 158.070006 143.932414 \nL 158.139504 146.88538 \nL 158.347996 222.246549 \nL 158.417493 204.4756 \nL 158.695483 256.626456 \nL 158.834477 172.834569 \nL 158.973472 114.402753 \nL 159.181964 213.183896 \nL 159.251461 208.594987 \nL 159.320959 186.692838 \nL 159.459953 263.743104 \nL 159.529451 252.991355 \nL 159.946435 34.67267 \nL 160.154927 234.530888 \nL 160.293922 270.750493 \nL 160.363419 262.638695 \nL 160.641408 135.073515 \nL 160.780403 217.65764 \nL 160.8499 217.595628 \nL 160.988895 234.837996 \nL 161.197387 265.903199 \nL 161.475376 160.309563 \nL 161.683869 240.572656 \nL 161.753366 234.789272 \nL 161.822863 235.626438 \nL 162.031355 271.344039 \nL 162.309345 234.386193 \nL 162.378842 230.20184 \nL 162.448339 241.155867 \nL 162.517837 237.919416 \nL 162.656831 244.235811 \nL 162.795826 271.612759 \nL 162.865323 264.820937 \nL 163.004318 253.954022 \nL 163.143313 238.331355 \nL 163.21281 241.13372 \nL 163.282308 240.649434 \nL 163.421302 234.53827 \nL 163.4908 242.130346 \nL 163.629794 272.06161 \nL 163.699292 270.988206 \nL 163.907784 153.637336 \nL 163.977281 160.246074 \nL 164.185773 225.527294 \nL 164.394265 253.744361 \nL 164.53326 268.55201 \nL 164.741752 147.867241 \nL 164.811249 152.679099 \nL 165.019741 230.14721 \nL 165.089239 227.861614 \nL 165.367228 270.216006 \nL 165.57572 149.137016 \nL 165.645217 166.035364 \nL 165.853709 229.763324 \nL 165.923207 230.979946 \nL 166.131699 267.01942 \nL 166.201196 266.384532 \nL 166.479186 142.455931 \nL 166.687678 231.582351 \nL 166.757175 229.059042 \nL 166.965667 263.638274 \nL 167.035164 261.216842 \nL 167.243656 153.914915 \nL 167.313154 157.458474 \nL 167.521646 239.251204 \nL 167.591143 239.494824 \nL 167.66064 233.712916 \nL 167.869133 261.918171 \nL 167.93863 259.907201 \nL 168.147122 243.989238 \nL 168.286117 249.162835 \nL 168.425111 232.065161 \nL 168.703101 267.570148 \nL 168.98109 251.773257 \nL 169.050587 251.523731 \nL 169.120085 253.00169 \nL 169.259079 240.125282 \nL 169.328577 243.726424 \nL 169.537069 274.295528 \nL 169.745561 248.773043 \nL 169.815058 249.300147 \nL 169.954053 243.953802 \nL 170.02355 239.242345 \nL 170.093048 241.957597 \nL 170.162545 238.856983 \nL 170.371037 272.119192 \nL 170.579529 220.040684 \nL 170.649026 203.315084 \nL 170.718524 210.490791 \nL 170.927016 235.751939 \nL 171.135508 270.45372 \nL 171.205005 267.34277 \nL 171.413497 213.111549 \nL 171.552492 206.662271 \nL 171.621989 218.062196 \nL 171.691487 215.99955 \nL 171.830481 222.643723 \nL 172.038973 270.997065 \nL 172.316963 237.198893 \nL 172.38646 248.759755 \nL 172.455958 247.984601 \nL 172.594952 245.177807 \nL 172.66445 248.572241 \nL 172.872942 274.435794 \nL 173.150931 232.617366 \nL 173.289926 253.202492 \nL 173.42892 235.416778 \nL 173.70691 275.374838 \nL 173.984899 239.914145 \nL 174.123894 252.895384 \nL 174.262889 234.845379 \nL 174.332386 236.785477 \nL 174.540878 273.167495 \nL 174.957862 230.674314 \nL 175.027359 229.070854 \nL 175.166354 235.50832 \nL 175.305349 270.244059 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216.731885 \nL 180.795639 226.461908 \nL 180.865137 223.460218 \nL 180.934634 219.011575 \nL 181.143126 269.730243 \nL 181.212623 266.070042 \nL 181.490613 140.979448 \nL 181.629607 213.146984 \nL 181.699105 204.260033 \nL 181.768602 209.423294 \nL 181.977094 268.968378 \nL 182.046592 262.578159 \nL 182.324581 145.408897 \nL 182.533073 213.6608 \nL 182.672068 230.951893 \nL 182.811062 259.210301 \nL 182.88056 258.15314 \nL 183.089052 133.597032 \nL 183.158549 127.6911 \nL 183.367041 218.772385 \nL 183.436539 218.292528 \nL 183.645031 255.414264 \nL 183.714528 252.239825 \nL 183.92302 132.120549 \nL 183.992517 133.597032 \nL 184.201009 228.598379 \nL 184.270507 221.053551 \nL 184.548496 267.95551 \nL 184.756988 143.932414 \nL 184.826485 154.753558 \nL 184.96548 220.302021 \nL 185.034978 213.189802 \nL 185.104475 208.029494 \nL 185.173972 215.86519 \nL 185.312967 259.645864 \nL 185.382464 261.237513 \nL 185.590956 234.657865 \nL 185.660454 234.722831 \nL 185.729951 235.627915 \nL 185.868946 239.487441 \nL 185.938443 234.307939 \nL 186.146935 269.415752 \nL 186.216432 269.028914 \nL 186.563919 229.103336 \nL 186.633417 237.717138 \nL 186.772411 225.986481 \nL 186.980903 267.395923 \nL 187.050401 266.37715 \nL 187.258893 145.408897 \nL 187.32839 148.050325 \nL 187.536882 221.399048 \nL 187.606379 217.718176 \nL 187.814871 266.316614 \nL 187.884369 261.243419 \nL 188.162358 142.455931 \nL 188.37085 208.667335 \nL 188.509845 237.135404 \nL 188.64884 269.467429 \nL 188.718337 260.063709 \nL 188.926829 143.932414 \nL 188.996326 152.758829 \nL 189.274316 225.069585 \nL 189.482808 262.222327 \nL 189.552305 258.728968 \nL 189.760797 140.979448 \nL 189.830295 147.781605 \nL 190.038787 212.897459 \nL 190.108284 213.551541 \nL 190.386273 265.594614 \nL 190.594765 146.88538 \nL 190.664263 152.001393 \nL 190.872755 226.173994 \nL 190.942252 220.780402 \nL 191.150744 265.749645 \nL 191.220242 264.422287 \nL 191.428734 228.800657 \nL 191.498231 227.747925 \nL 191.637226 236.203743 \nL 191.706723 234.839473 \nL 191.77622 228.301606 \nL 192.05421 269.365552 \nL 192.123707 259.917537 \nL 192.332199 231.310678 \nL 192.471194 233.628757 \nL 192.610188 229.351385 \nL 192.818681 274.031238 \nL 192.888178 273.453933 \nL 193.09667 145.408897 \nL 193.166167 143.932414 \nL 193.305162 218.432794 \nL 193.374659 217.970654 \nL 193.444157 217.721129 \nL 193.652649 274.230563 \nL 193.722146 270.905523 \nL 193.930638 140.979448 \nL 194.000135 145.408897 \nL 194.208627 226.485532 \nL 194.347622 239.469724 \nL 194.486617 265.959305 \nL 194.556114 256.128881 \nL 194.764606 135.073515 \nL 194.834104 136.549999 \nL 195.042596 206.836496 \nL 195.112093 205.606586 \nL 195.18159 210.391867 \nL 195.320585 267.608537 \nL 195.390082 260.939263 \nL 195.598574 139.502965 \nL 195.668072 142.455931 \nL 195.807066 215.364662 \nL 195.876564 211.521377 \nL 195.946061 211.186215 \nL 196.154553 271.856379 \nL 196.224051 269.877891 \nL 196.432543 150.84826 \nL 196.571537 192.57367 \nL 196.641035 223.240222 \nL 196.710532 218.451988 \nL 196.780029 217.179259 \nL 196.919024 234.105661 \nL 197.058019 264.572888 \nL 197.266511 232.562736 \nL 197.336008 228.66925 \nL 197.475003 241.817332 \nL 197.5445 237.119163 \nL 197.613998 238.957384 \nL 197.683495 244.05125 \nL 197.891987 274.156739 \nL 198.239474 243.941991 \nL 198.308971 244.790968 \nL 198.378468 233.188765 \nL 198.447966 233.535738 \nL 198.656458 274.09768 \nL 198.725955 269.195756 \nL 199.003945 158.816839 \nL 199.212437 232.798973 \nL 199.281934 229.053136 \nL 199.490426 271.432628 \nL 199.559923 269.771584 \nL 199.768415 142.455931 \nL 199.837913 145.408897 \nL 200.254897 259.868813 \nL 200.393891 276.846891 \nL 200.602384 149.321577 \nL 200.671881 164.78183 \nL 200.810876 215.837136 \nL 200.880373 216.517795 \nL 200.94987 214.898093 \nL 201.019368 221.593944 \nL 201.158362 273.424403 \nL 201.22786 273.55581 \nL 201.436352 151.561401 \nL 201.575346 181.820444 \nL 201.714341 224.233895 \nL 201.853336 240.829564 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262.523529 \nL 207.135134 221.354753 \nL 207.343626 133.597032 \nL 207.482621 208.967061 \nL 207.552118 197.961357 \nL 207.830108 272.00255 \nL 207.899605 261.748376 \nL 208.108097 156.525337 \nL 208.177594 167.799762 \nL 208.316589 228.317847 \nL 208.386087 224.548386 \nL 208.455584 228.273553 \nL 208.733573 270.545262 \nL 208.942065 241.861626 \nL 209.011563 236.550717 \nL 209.08106 239.252681 \nL 209.150557 240.444202 \nL 209.289552 223.696456 \nL 209.359049 232.375223 \nL 209.498044 272.068992 \nL 209.637039 262.099779 \nL 209.845531 240.881241 \nL 209.984526 234.464446 \nL 210.054023 222.314467 \nL 210.12352 227.662289 \nL 210.193018 220.302021 \nL 210.40151 263.388748 \nL 210.610002 150.076059 \nL 210.679499 156.718756 \nL 210.818494 226.958007 \nL 210.887991 218.48447 \nL 210.957488 215.789889 \nL 211.16598 263.901088 \nL 211.235478 260.50813 \nL 211.44397 145.408897 \nL 211.513467 146.88538 \nL 211.791457 222.783989 \nL 211.999949 270.753446 \nL 212.069446 270.731298 \nL 212.277938 140.979448 \nL 212.347435 158.338458 \nL 212.555927 217.597104 \nL 212.625425 221.055027 \nL 212.903414 269.293204 \nL 213.111906 143.932414 \nL 213.181404 149.830963 \nL 213.320398 220.966438 \nL 213.389896 219.020434 \nL 213.667885 272.517843 \nL 213.737382 269.858697 \nL 213.945874 145.408897 \nL 214.015372 154.716646 \nL 214.223864 228.224829 \nL 214.293361 231.080347 \nL 214.362858 221.856758 \nL 214.571351 275.993484 \nL 214.779843 231.307725 \nL 214.84934 231.905701 \nL 214.918837 232.130127 \nL 214.988335 242.964559 \nL 215.127329 228.867099 \nL 215.196827 232.624748 \nL 215.405319 274.304387 \nL 215.613811 245.68867 \nL 215.752805 222.974455 \nL 215.822303 242.226317 \nL 215.8918 237.210705 \nL 215.961297 224.346108 \nL 216.239287 275.206518 \nL 216.447779 154.475979 \nL 216.517276 159.596422 \nL 216.725768 228.781463 \nL 216.795266 225.602595 \nL 216.864763 230.793909 \nL 217.073255 269.646083 \nL 217.351244 145.408897 \nL 217.559736 230.984376 \nL 217.629234 228.227782 \nL 217.698731 234.411293 \nL 217.837726 267.604107 \nL 217.907223 267.003179 \nL 218.115715 143.932414 \nL 218.185213 157.067206 \nL 218.393705 232.74139 \nL 218.463202 228.360665 \nL 218.602197 254.698169 \nL 218.671694 268.705564 \nL 218.741191 268.258189 \nL 219.019181 142.455931 \nL 219.29717 229.760371 \nL 219.366668 224.352014 \nL 219.436165 230.185598 \nL 219.57516 269.743531 \nL 219.783652 142.455931 \nL 219.853149 152.010252 \nL 220.061641 218.14045 \nL 220.409128 263.617603 \nL 220.478625 251.928287 \nL 220.687117 223.767327 \nL 220.826112 237.73338 \nL 220.895609 222.453257 \nL 220.965107 227.328604 \nL 221.243096 266.811236 \nL 221.382091 249.06834 \nL 221.590583 231.973619 \nL 221.66008 237.259428 \nL 221.799075 223.058615 \nL 222.007567 274.170027 \nL 222.077064 268.425032 \nL 222.285556 139.502965 \nL 222.355054 159.1018 \nL 222.563546 226.389561 \nL 222.633043 220.358127 \nL 222.841535 269.074685 \nL 222.911032 261.649451 \nL 223.189022 142.455931 \nL 223.397514 225.327969 \nL 223.467011 223.870681 \nL 223.675503 269.987151 \nL 223.745 262.984192 \nL 224.02299 140.979448 \nL 224.231482 224.084771 \nL 224.300979 214.808028 \nL 224.370477 216.904634 \nL 224.509471 269.535347 \nL 224.578969 267.299952 \nL 224.787461 147.247118 \nL 224.856958 157.507198 \nL 224.995953 218.106491 \nL 225.06545 207.765204 \nL 225.134947 195.510395 \nL 225.412937 272.128051 \nL 225.690926 158.775497 \nL 225.899418 227.81289 \nL 225.968916 220.5545 \nL 226.038413 227.40981 \nL 226.246905 264.321886 \nL 226.524894 218.203939 \nL 226.663889 235.960123 \nL 226.802884 223.430689 \nL 226.941878 243.903602 \nL 227.080873 262.541247 \nL 227.150371 261.709987 \nL 227.289365 233.030781 \nL 227.358863 235.360671 \nL 227.42836 234.173579 \nL 227.497857 236.887355 \nL 227.567355 236.448839 \nL 227.636852 230.198887 \nL 227.706349 236.519711 \nL 227.845344 268.888648 \nL 227.984339 223.263846 \nL 228.123333 149.197552 \nL 228.192831 156.225611 \nL 228.401323 218.155215 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270.02111 \nL 234.586587 268.216848 \nL 234.864576 140.979448 \nL 235.073068 212.098681 \nL 235.212063 233.9211 \nL 235.351058 272.413013 \nL 235.420555 268.701134 \nL 235.629047 145.408897 \nL 235.768042 189.219101 \nL 235.976534 225.645413 \nL 236.046031 232.552401 \nL 236.185026 271.248068 \nL 236.254523 267.059285 \nL 236.463015 143.932414 \nL 236.532513 152.785406 \nL 236.741005 213.108596 \nL 236.810502 208.100365 \nL 237.088491 273.520375 \nL 237.366481 148.747225 \nL 237.64447 229.682118 \nL 237.783465 253.72812 \nL 237.922459 269.926615 \nL 238.130952 225.996816 \nL 238.200449 219.550491 \nL 238.408941 235.357718 \nL 238.478438 238.53511 \nL 238.547936 229.496081 \nL 238.756428 270.636804 \nL 239.103914 224.006517 \nL 239.173412 240.689299 \nL 239.312406 225.131597 \nL 239.520899 274.809345 \nL 239.590396 270.834652 \nL 239.798888 170.780781 \nL 239.868385 178.771507 \nL 239.937883 186.388683 \nL 240.146375 231.158601 \nL 240.215872 238.194042 \nL 240.424364 272.537037 \nL 240.632856 158.694291 \nL 240.702353 159.377902 \nL 240.910845 230.607873 \nL 240.980343 214.360653 \nL 241.258332 270.800693 \nL 241.466824 157.056871 \nL 241.536322 164.638611 \nL 241.744814 236.682124 \nL 241.814311 234.300557 \nL 241.883808 241.341904 \nL 242.0923 274.49633 \nL 242.300792 154.394772 \nL 242.37029 166.770653 \nL 242.578782 227.691819 \nL 242.787274 262.516147 \nL 242.856771 274.832968 \nL 242.926269 271.276121 \nL 243.134761 168.068481 \nL 243.204258 174.774667 \nL 243.41275 236.119584 \nL 243.482247 229.398633 \nL 243.551745 234.387669 \nL 243.760237 266.790565 \nL 244.038226 226.791164 \nL 244.246718 236.416357 \nL 244.316216 227.127802 \nL 244.594205 275.808924 \nL 244.872194 227.523499 \nL 244.941692 233.665669 \nL 245.011189 237.503048 \nL 245.080686 235.684021 \nL 245.219681 233.974254 \nL 245.358676 275.618457 \nL 245.428173 274.351635 \nL 245.636665 213.049536 \nL 245.706162 193.577678 \nL 245.77566 201.885848 \nL 245.845157 231.958854 \nL 245.914655 230.984376 \nL 245.984152 227.984162 \nL 246.192644 272.78361 \nL 246.262141 272.356906 \nL 246.470633 207.966005 \nL 246.540131 194.893225 \nL 246.679125 217.270801 \nL 246.748623 219.109023 \nL 246.887617 240.613998 \nL 247.026612 271.894767 \nL 247.096109 271.056125 \nL 247.374099 206.761195 \nL 247.443596 208.017682 \nL 247.513094 231.641411 \nL 247.582591 224.158595 \nL 247.930078 262.771579 \nL 248.13857 199.017042 \nL 248.208067 202.765832 \nL 248.277564 211.147826 \nL 248.347062 238.244243 \nL 248.416559 225.172939 \nL 248.486056 222.060512 \nL 248.694548 270.300165 \nL 248.764046 265.390859 \nL 248.972538 212.060293 \nL 249.042035 215.180101 \nL 249.320025 236.022136 \nL 249.389522 232.348646 \nL 249.598014 265.901723 \nL 249.876003 227.866044 \nL 250.014998 254.162206 \nL 250.22349 244.576878 \nL 250.362485 273.034612 \nL 250.431982 272.613814 \nL 250.709972 228.790322 \nL 250.779469 237.954852 \nL 250.848966 241.804043 \nL 250.987961 228.2706 \nL 251.26595 275.203566 \nL 251.474442 197.032649 \nL 251.54394 199.863067 \nL 252.030421 270.368084 \nL 252.099919 269.598836 \nL 252.377908 217.328384 \nL 252.447405 216.401153 \nL 252.516903 238.966243 \nL 252.5864 226.114935 \nL 252.725395 245.44948 \nL 252.864389 271.688059 \nL 252.933887 267.542095 \nL 253.211876 210.896824 \nL 253.281373 213.383222 \nL 253.350871 231.769865 \nL 253.420368 228.725357 \nL 253.489865 223.376059 \nL 253.767855 259.213254 \nL 254.045844 214.837557 \nL 254.115342 214.599844 \nL 254.254336 235.230741 \nL 254.323834 231.273766 \nL 254.393331 218.587824 \nL 254.532326 272.201876 \nL 254.67132 247.298037 \nL 254.740818 232.118315 \nL 254.810315 233.28326 \nL 254.94931 221.805081 \nL 255.157802 246.620331 \nL 255.227299 231.821542 \nL 255.366294 272.449925 \nL 255.435791 272.757033 \nL 255.644283 250.383886 \nL 255.713781 249.001898 \nL 255.852775 255.347822 \nL 255.922273 249.267665 \nL 255.99177 251.975535 \nL 256.061267 251.240246 \nL 256.200262 275.820735 \nL 256.269759 272.864816 \nL 256.478251 257.552211 \nL 256.547749 250.097448 \nL 256.617246 252.434721 \nL 256.686744 254.543139 \nL 256.756241 243.134354 \nL 256.825738 244.764392 \nL 256.964733 264.419334 \nL 257.03423 276.096838 \nL 257.103728 273.932314 \nL 257.381717 238.366791 \nL 257.451214 251.765874 \nL 257.520712 249.062434 \nL 257.659706 242.369536 \nL 257.868198 274.264522 \nL 257.937696 273.929361 \nL 258.07669 242.331148 \nL 258.215685 246.744355 \nL 258.285183 252.134995 \nL 258.424177 242.057998 \nL 258.493675 223.253511 \nL 258.702167 266.084806 \nL 258.771664 264.253967 \nL 258.910659 236.838631 \nL 258.980156 237.3805 \nL 259.049653 234.793702 \nL 259.119151 235.307518 \nL 259.188648 242.929123 \nL 259.258145 240.73507 \nL 259.327643 239.459388 \nL 259.39714 242.595438 \nL 259.536135 266.954455 \nL 259.605632 265.353947 \nL 259.814124 222.682112 \nL 260.022616 241.440828 \nL 260.092114 232.121268 \nL 260.370103 267.862492 \nL 260.4396 265.622667 \nL 260.578595 214.192334 \nL 260.648092 216.488265 \nL 260.71759 211.159638 \nL 260.856584 236.178643 \nL 260.926082 222.547752 \nL 260.995579 224.16893 \nL 261.273568 264.519734 \nL 261.343066 255.321245 \nL 261.482061 213.070207 \nL 261.621055 236.265755 \nL 261.690553 235.208594 \nL 261.76005 225.66756 \nL 261.829547 227.377328 \nL 262.107537 268.789723 \nL 262.385526 234.985645 \nL 262.455023 232.356028 \nL 262.524521 239.158186 \nL 262.663515 222.193396 \nL 262.872007 270.477343 \nL 262.941505 271.000018 \nL 263.219494 189.696005 \nL 263.427986 228.67368 \nL 263.497484 225.506624 \nL 263.566981 234.142573 \nL 263.775473 268.881265 \nL 264.053462 198.594768 \nL 264.261954 224.452415 \nL 264.539944 270.753446 \nL 264.609441 266.012459 \nL 264.887431 211.971704 \nL 265.026425 226.752775 \nL 265.095923 218.347158 \nL 265.16542 221.168717 \nL 265.373912 268.414697 \nL 265.443409 269.169179 \nL 265.721399 208.990685 \nL 265.929891 233.677481 \nL 265.999388 232.423947 \nL 266.20788 266.349097 \nL 266.277378 261.064764 \nL 266.555367 224.7359 \nL 266.624864 220.964962 \nL 266.694362 239.484488 \nL 266.763859 237.954852 \nL 266.833356 235.85677 \nL 266.972351 255.188362 \nL 267.041848 269.34931 \nL 267.111346 263.328213 \nL 267.52833 232.301399 \nL 267.597827 230.538478 \nL 267.667325 232.23348 \nL 267.945314 269.771584 \nL 268.014811 263.782969 \nL 268.223303 238.58531 \nL 268.362298 245.177807 \nL 268.501293 233.47225 \nL 268.709785 269.204615 \nL 268.779282 267.339817 \nL 269.057271 213.304968 \nL 269.126769 210.028652 \nL 269.265764 231.18813 \nL 269.335261 230.166404 \nL 269.61325 267.816721 \nL 269.89124 196.654669 \nL 270.308224 256.576256 \nL 270.447218 266.179301 \nL 270.65571 211.477082 \nL 270.725208 216.163439 \nL 270.794705 205.983089 \nL 270.9337 230.727468 \nL 271.003197 220.733154 \nL 271.211689 272.655156 \nL 271.281187 268.893077 \nL 271.489679 217.007987 \nL 271.559176 217.041947 \nL 271.906663 244.610837 \nL 272.045657 271.834231 \nL 272.115155 269.442329 \nL 272.323647 224.375638 \nL 272.671134 242.359201 \nL 272.740631 245.923431 \nL 272.949123 270.388754 \nL 273.366107 230.002514 \nL 273.783091 271.345515 \nL 273.852589 268.788247 \nL 274.061081 236.68803 \nL 274.130578 238.645846 \nL 274.200075 245.239819 \nL 274.269573 238.083306 \nL 274.33907 242.224841 \nL 274.547562 271.513834 \nL 274.617059 269.830644 \nL 274.825551 206.443751 \nL 274.895049 210.790517 \nL 275.173038 239.301405 \nL 275.38153 270.233724 \nL 275.451028 267.74585 \nL 275.590022 206.70066 \nL 275.729017 210.320996 \nL 275.868012 234.012642 \nL 275.937509 228.347377 \nL 276.076504 243.095966 \nL 276.215498 271.126996 \nL 276.354493 255.257756 \nL 276.562985 217.446503 \nL 277.118964 271.320415 \nL 277.396953 217.509992 \nL 277.466451 218.667554 \nL 277.674943 237.562108 \nL 277.813937 260.153774 \nL 277.952932 271.031025 \nL 278.161424 223.238746 \nL 278.230921 215.005876 \nL 278.439413 242.168735 \nL 278.508911 241.517606 \nL 278.578408 239.611466 \nL 278.7869 269.764202 \nL 278.925895 254.032276 \nL 279.06489 240.512121 \nL 279.134387 186.455124 \nL 279.203884 206.829114 \nL 279.273382 240.278836 \nL 279.342879 238.870271 \nL 279.481874 256.425655 \nL 279.620868 271.227397 \nL 279.898858 240.269977 \nL 279.968355 235.131816 \nL 280.037852 238.445044 \nL 280.10735 235.15544 \nL 280.176847 237.576872 \nL 280.454837 266.037559 \nL 280.732826 217.802335 \nL 280.802323 221.862664 \nL 280.871821 236.236226 \nL 280.941318 235.456643 \nL 281.010815 237.033527 \nL 281.288805 272.991794 \nL 281.497297 216.711214 \nL 281.566794 221.372471 \nL 281.636292 214.827222 \nL 281.705789 228.810993 \nL 281.775286 226.137082 \nL 281.983778 242.201217 \nL 282.053276 261.464891 \nL 282.122773 260.611484 \nL 282.331265 204.76499 \nL 282.400762 205.361489 \nL 282.539757 219.103117 \nL 282.609254 221.896623 \nL 282.956741 270.207147 \nL 283.234731 194.679135 \nL 283.373725 217.591198 \nL 283.443223 221.376901 \nL 283.51272 217.554286 \nL 283.721212 265.079321 \nL 283.790709 263.34593 \nL 283.999201 215.631905 \nL 284.068699 210.910113 \nL 284.138196 224.05967 \nL 284.207693 222.96412 \nL 284.346688 229.541852 \nL 284.624677 269.829167 \nL 284.83317 231.890936 \nL 284.902667 233.131182 \nL 285.041662 238.501151 \nL 285.111159 232.883133 \nL 285.458646 271.44001 \nL 285.736635 233.197624 \nL 285.945127 249.713563 \nL 286.014624 242.071287 \nL 286.292614 273.13206 \nL 286.570603 229.76923 \nL 286.640101 216.365717 \nL 286.709598 237.039433 \nL 286.779095 233.913718 \nL 286.848593 233.643522 \nL 287.057085 272.035033 \nL 287.126582 269.587024 \nL 287.335074 207.220382 \nL 287.404571 206.498381 \nL 287.543566 226.987536 \nL 287.613063 219.004192 \nL 287.96055 268.076582 \nL 288.169042 208.580222 \nL 288.586026 235.74308 \nL 288.794518 267.961416 \nL 289.00301 212.122305 \nL 289.142005 216.879533 \nL 289.211502 231.978049 \nL 289.281 220.34041 \nL 289.628487 269.285822 \nL 289.836979 213.087925 \nL 289.906476 210.44502 \nL 290.114968 229.394203 \nL 290.184465 220.44524 \nL 290.462455 271.196391 \nL 290.740444 226.987536 \nL 290.809941 232.282204 \nL 290.879439 246.432817 \nL 290.948936 241.659348 \nL 291.018434 232.491865 \nL 291.296423 268.60221 \nL 291.504915 234.179485 \nL 291.574412 236.742659 \nL 291.64391 245.0213 \nL 291.713407 241.873438 \nL 291.782904 241.555994 \nL 291.921899 230.221034 \nL 292.130391 269.40394 \nL 292.40838 166.828236 \nL 292.477878 182.300301 \nL 292.616873 233.329031 \nL 292.68637 233.303931 \nL 292.894862 266.062659 \nL 292.964359 264.326315 \nL 293.172851 142.455931 \nL 293.242349 143.932414 \nL 293.381343 210.687164 \nL 293.450841 210.090665 \nL 293.520338 218.779767 \nL 293.72883 267.511089 \nL 293.798327 264.546311 \nL 294.006819 150.421556 \nL 294.076317 166.848906 \nL 294.215312 219.439755 \nL 294.284809 209.715638 \nL 294.423804 239.581936 \nL 294.562798 271.336656 \nL 294.632296 266.93969 \nL 294.840788 140.979448 \nL 294.910285 153.091038 \nL 295.04928 224.27819 \nL 295.118777 223.609343 \nL 295.188274 221.176099 \nL 295.466264 270.524591 \nL 295.674756 155.150732 \nL 296.230735 268.125306 \nL 296.300232 268.817776 \nL 296.369729 259.481974 \nL 296.439227 230.170834 \nL 296.508724 237.192987 \nL 296.578221 237.157551 \nL 296.647719 238.548398 \nL 296.786713 223.965175 \nL 296.995205 248.025943 \nL 297.064703 269.761249 \nL 297.1342 269.468905 \nL 297.41219 232.956957 \nL 297.551184 226.510632 \nL 297.620682 227.366992 \nL 297.898671 274.719279 \nL 297.968168 274.397406 \nL 298.246158 165.753356 \nL 298.385152 227.823226 \nL 298.45465 226.067687 \nL 298.802137 273.031659 \nL 299.010629 145.408897 \nL 299.080126 143.932414 \nL 299.358115 224.874689 \nL 299.427613 233.494397 \nL 299.566607 271.637859 \nL 299.636105 268.687846 \nL 299.844597 145.408897 \nL 299.914094 153.042314 \nL 300.053089 212.650886 \nL 300.122586 199.560388 \nL 300.192083 202.941534 \nL 300.400576 272.675827 \nL 300.470073 269.948762 \nL 300.748062 133.597032 \nL 301.165046 253.198063 \nL 301.304041 267.407735 \nL 301.58203 139.502965 \nL 301.721025 218.859497 \nL 301.790522 218.065149 \nL 301.86002 222.955261 \nL 302.068512 271.38981 \nL 302.138009 269.26958 \nL 302.415999 222.512316 \nL 302.485496 230.842633 \nL 302.624491 234.770078 \nL 302.693988 226.487008 \nL 302.971977 273.834866 \nL 303.249967 229.546281 \nL 303.388961 239.308787 \nL 303.527956 231.19256 \nL 303.597454 232.868368 \nL 303.805946 274.493377 \nL 303.875443 251.630038 \nL 304.014438 156.853116 \nL 304.22293 230.410024 \nL 304.292427 226.489961 \nL 304.431422 240.323131 \nL 304.570416 270.557073 \nL 304.639914 268.692275 \nL 304.848406 147.50255 \nL 304.917903 138.026482 \nL 305.26539 243.209655 \nL 305.404385 260.096191 \nL 305.473882 257.865225 \nL 305.682374 145.408897 \nL 305.751871 146.88538 \nL 305.960363 211.268898 \nL 306.029861 207.759298 \nL 306.238353 269.718431 \nL 306.30785 263.487673 \nL 306.58584 143.932414 \nL 307.141818 265.221064 \nL 307.35031 142.455931 \nL 307.419808 150.834972 \nL 307.6283 217.870254 \nL 307.697797 209.179675 \nL 307.975786 264.274638 \nL 308.323273 226.033728 \nL 308.392771 225.968763 \nL 308.462268 230.745185 \nL 308.531765 227.356657 \nL 308.601263 212.947659 \nL 308.740257 266.056753 \nL 308.809755 259.499692 \nL 308.879252 256.443372 \nL 309.087744 217.662069 \nL 309.226739 234.170626 \nL 309.296236 223.84558 \nL 309.365733 227.266591 \nL 309.574225 266.068565 \nL 309.643723 264.978921 \nL 309.921712 136.549999 \nL 310.060707 219.243383 \nL 310.130204 212.909271 \nL 310.338696 242.777046 \nL 310.477691 263.988201 \nL 310.686183 136.549999 \nL 310.75568 138.026482 \nL 311.242162 258.619708 \nL 311.311659 254.064758 \nL 311.520151 140.979448 \nL 311.589649 136.549999 \nL 312.006633 254.519515 \nL 312.07613 269.465953 \nL 312.145627 265.452872 \nL 312.423617 135.073515 \nL 312.632109 224.887977 \nL 312.701606 226.430902 \nL 312.910098 267.844774 \nL 312.979596 267.443171 \nL 313.188088 142.455931 \nL 313.257585 139.502965 \nL 313.535574 260.326523 \nL 313.605072 256.655986 \nL 313.744066 277.264736 \nL 313.813564 277.382854 \nL 314.022056 250.628982 \nL 314.091553 248.79962 \nL 314.230548 266.78023 \nL 314.300045 262.657889 \nL 314.369542 264.510876 \nL 314.647532 281.76358 \nL 314.856024 267.229081 \nL 314.925521 266.787612 \nL 315.064516 268.872406 \nL 315.203511 256.741622 \nL 315.412003 281.205469 \nL 315.4815 273.334338 \nL 315.689992 143.932414 \nL 315.759489 136.549999 \nL 316.037479 253.552419 \nL 316.106976 254.072141 \nL 316.245971 276.443811 \nL 316.315468 271.159479 \nL 316.593458 135.073515 \nL 316.940944 258.514878 \nL 317.079939 271.558129 \nL 317.149436 271.428198 \nL 317.357928 145.408897 \nL 317.427426 148.587765 \nL 317.566421 205.913694 \nL 317.635918 193.906934 \nL 317.705415 201.267202 \nL 317.983405 268.386643 \nL 318.261394 136.549999 \nL 318.469886 212.441225 \nL 318.608881 229.742653 \nL 318.817373 267.054856 \nL 319.025865 149.299429 \nL 319.095362 148.388439 \nL 319.234357 218.403264 \nL 319.303854 214.989635 \nL 319.581844 270.824317 \nL 319.651341 269.495482 \nL 319.720838 263.475861 \nL 319.859833 225.86098 \nL 319.92933 232.914139 \nL 319.998828 221.586561 \nL 320.068325 238.467192 \nL 320.137822 223.101433 \nL 320.485309 274.583443 \nL 320.763299 236.797289 \nL 320.832796 239.045973 \nL 320.902293 237.793915 \nL 321.041288 228.974882 \nL 321.24978 275.097259 \nL 321.319277 271.383904 \nL 321.527769 149.326006 \nL 321.597267 160.212115 \nL 321.805759 228.407913 \nL 321.875256 230.820486 \nL 322.153245 272.982935 \nL 322.431235 142.455931 \nL 322.57023 222.840095 \nL 322.709224 218.583395 \nL 322.778722 224.304767 \nL 322.917716 273.473127 \nL 322.987214 272.855958 \nL 323.195706 143.932414 \nL 323.265203 140.979448 \nL 323.404198 208.327744 \nL 323.473695 207.927617 \nL 323.751685 269.883797 \nL 323.821182 273.905737 \nL 324.099171 135.073515 \nL 324.307663 227.281356 \nL 324.377161 227.46887 \nL 324.446658 234.285792 \nL 324.585653 273.273802 \nL 324.65515 272.073422 \nL 324.863642 159.550651 \nL 324.933139 154.372625 \nL 325.419621 263.319354 \nL 325.489118 271.668865 \nL 325.767108 235.604291 \nL 325.836605 238.752153 \nL 325.906102 240.041122 \nL 325.9756 239.652807 \nL 326.045097 228.319324 \nL 326.323086 273.390444 \nL 326.531578 248.644589 \nL 326.670573 221.433007 \nL 326.809568 229.491651 \nL 326.879065 225.249716 \nL 327.087557 271.804702 \nL 327.157055 268.207989 \nL 327.435044 189.567551 \nL 327.921525 271.293838 \nL 327.991023 273.603058 \nL 328.199515 192.882255 \nL 328.269012 204.243792 \nL 328.408007 224.30329 \nL 328.477504 217.572004 \nL 328.547002 223.241699 \nL 328.824991 264.259873 \nL 328.963986 191.766034 \nL 329.033483 199.315291 \nL 329.172478 182.043393 \nL 329.311472 222.99365 \nL 329.38097 216.854433 \nL 329.589462 269.843932 \nL 329.658959 263.746057 \nL 329.867451 153.93411 \nL 329.936948 138.026482 \nL 330.214938 224.873212 \nL 330.42343 269.696284 \nL 330.492927 268.650934 \nL 330.701419 140.979448 \nL 330.770917 148.215691 \nL 330.909911 215.274596 \nL 330.979409 213.324162 \nL 331.048906 217.346102 \nL 331.326895 273.821577 \nL 331.535387 232.552401 \nL 331.604885 234.067272 \nL 331.674382 234.152908 \nL 331.74388 233.007157 \nL 331.813377 236.896214 \nL 331.952372 230.870686 \nL 332.160864 272.193017 \nL 332.369356 232.152274 \nL 332.438853 237.24614 \nL 332.50835 209.314034 \nL 332.577848 242.335577 \nL 332.647345 240.714399 \nL 332.716842 228.297177 \nL 332.994832 273.259037 \nL 333.272821 138.026482 \nL 333.481313 218.128638 \nL 333.620308 236.782524 \nL 333.759303 274.540625 \nL 333.8288 271.135855 \nL 334.037292 140.979448 \nL 334.106789 147.012357 \nL 334.384779 222.355809 \nL 334.593271 264.680671 \nL 334.662768 255.104202 \nL 334.87126 139.502965 \nL 334.940758 140.979448 \nL 335.14925 218.277763 \nL 335.288244 235.108193 \nL 335.427239 271.448869 \nL 335.496736 268.622881 \nL 335.774726 145.408897 \nL 335.91372 207.803592 \nL 335.983218 205.144446 \nL 336.122212 224.140877 \nL 336.261207 270.02111 \nL 336.330705 266.64587 \nL 336.539197 150.084918 \nL 336.608694 153.594518 \nL 336.817186 228.870052 \nL 336.956181 238.303302 \nL 337.164673 275.788253 \nL 337.512159 229.953791 \nL 337.581657 227.626853 \nL 337.651154 218.868356 \nL 337.859646 259.617811 \nL 337.998641 273.834866 \nL 338.207133 236.191931 \nL 338.27663 240.935871 \nL 338.415625 242.453696 \nL 338.55462 233.924053 \nL 338.763112 271.533029 \nL 338.832609 269.740578 \nL 339.110598 143.932414 \nL 339.388588 236.797289 \nL 339.458085 236.608299 \nL 339.666577 269.446758 \nL 339.875069 152.64514 \nL 339.944567 157.768536 \nL 340.292053 237.568013 \nL 340.431048 267.421024 \nL 340.500545 260.454977 \nL 340.778535 149.250705 \nL 341.056524 214.428572 \nL 341.126022 220.607653 \nL 341.265016 271.621618 \nL 341.334514 268.633216 \nL 341.612503 147.267789 \nL 341.820995 239.137515 \nL 341.95999 245.300355 \nL 342.168482 272.102951 \nL 342.446471 166.975884 \nL 342.585466 225.982051 \nL 342.654963 223.982893 \nL 343.00245 276.685954 \nL 343.141445 224.644358 \nL 343.210942 237.959281 \nL 343.280439 231.041959 \nL 343.349937 242.471414 \nL 343.419434 238.552828 \nL 343.627926 236.056095 \nL 343.836418 272.020268 \nL 344.114408 239.109462 \nL 344.183905 240.27736 \nL 344.253402 231.644364 \nL 344.600889 276.260727 \nL 344.670386 273.865872 \nL 344.878878 150.995908 \nL 344.948376 152.665811 \nL 345.08737 215.050171 \nL 345.156868 210.077376 \nL 345.226365 204.141914 \nL 345.504354 263.873035 \nL 345.782344 138.026482 \nL 345.851841 147.880529 \nL 346.060333 219.82807 \nL 346.129831 231.766912 \nL 346.268825 271.38981 \nL 346.338323 264.310074 \nL 346.616312 145.408897 \nL 346.824804 212.45599 \nL 346.894301 215.152048 \nL 347.102793 266.603052 \nL 347.172291 261.93146 \nL 347.45028 135.073515 \nL 347.797767 235.42416 \nL 348.006259 268.423556 \nL 348.214751 142.455931 \nL 348.284248 142.455931 \nL 348.49274 223.566525 \nL 348.631735 237.187081 \nL 348.77073 268.047052 \nL 348.840227 267.632161 \nL 348.909725 263.283918 \nL 349.187714 224.230942 \nL 349.326709 236.140254 \nL 349.396206 225.167033 \nL 349.674195 275.311349 \nL 349.882687 236.075289 \nL 350.021682 242.536379 \nL 350.160677 224.604493 \nL 350.369169 257.085642 \nL 350.438666 271.248068 \nL 350.508164 270.77264 \nL 350.716656 139.502965 \nL 350.786153 142.455931 \nL 350.994645 229.37058 \nL 351.064142 230.810151 \nL 351.13364 229.877013 \nL 351.272634 264.425239 \nL 351.342132 252.947061 \nL 351.620121 136.549999 \nL 351.898111 226.396943 \nL 351.967608 233.157759 \nL 352.106603 269.319781 \nL 352.384592 146.88538 \nL 352.454089 156.636073 \nL 352.662581 221.942394 \nL 352.801576 241.842432 \nL 353.010068 263.856794 \nL 353.288057 130.644066 \nL 353.635544 227.759737 \nL 353.774539 267.881686 \nL 353.844036 267.772426 \nL 354.052528 142.455931 \nL 354.122026 142.455931 \nL 354.330518 227.266591 \nL 354.400015 222.671776 \nL 354.469512 227.938391 \nL 354.53901 216.926781 \nL 354.678004 261.972801 \nL 354.955994 231.673893 \nL 355.025491 229.668829 \nL 355.094989 235.684021 \nL 355.164486 232.524347 \nL 355.233983 232.773873 \nL 355.303481 237.117686 \nL 355.511973 273.499704 \nL 355.58147 268.286243 \nL 355.859459 229.323332 \nL 356.137449 245.623705 \nL 356.276443 273.465745 \nL 356.345941 267.196598 \nL 356.554433 142.455931 \nL 356.62393 145.408897 \nL 356.762925 204.862438 \nL 356.832422 201.090024 \nL 356.90192 193.365065 \nL 357.110412 264.918385 \nL 357.179909 262.135214 \nL 357.457898 136.549999 \nL 357.527396 152.999496 \nL 357.66639 212.960948 \nL 357.735888 217.208789 \nL 357.94438 257.995156 \nL 358.013877 256.613168 \nL 358.222369 136.549999 \nL 358.291867 139.502965 \nL 358.500359 205.990471 \nL 358.569856 195.811597 \nL 358.778348 263.134793 \nL 358.847845 262.557488 \nL 359.056337 139.502965 \nL 359.125835 138.026482 \nL 359.403824 206.039195 \nL 359.681814 265.315559 \nL 359.890306 138.026482 \nL 359.959803 136.549999 \nL 360.515782 268.835494 \nL 360.793771 203.331325 \nL 360.863268 207.148034 \nL 360.932766 202.297787 \nL 361.07176 230.802768 \nL 361.141258 223.565049 \nL 361.34975 270.545262 \nL 361.766734 196.126088 \nL 361.836231 198.122293 \nL 361.975226 211.766473 \nL 362.183718 264.17719 \nL 362.461707 139.502965 \nL 362.600702 201.596458 \nL 362.670199 198.300948 \nL 362.739697 208.506398 \nL 362.948189 267.137539 \nL 363.017686 264.002965 \nL 363.295676 138.026482 \nL 363.504168 206.985621 \nL 363.573665 193.754856 \nL 363.782157 258.226964 \nL 363.851654 263.015198 \nL 364.060146 136.549999 \nL 364.129644 140.979448 \nL 364.268638 203.805276 \nL 364.338136 197.218686 \nL 364.477131 231.608928 \nL 364.685623 264.259873 \nL 364.963612 139.502965 \nL 365.172104 208.246537 \nL 365.311099 228.034363 \nL 365.519591 266.545469 \nL 365.79758 150.417127 \nL 366.006072 222.512316 \nL 366.214564 249.52162 \nL 366.284062 265.482401 \nL 366.353559 260.72222 \nL 366.631548 227.759737 \nL 366.701046 230.637402 \nL 366.770543 230.807198 \nL 366.84004 233.323125 \nL 366.909538 224.808247 \nL 367.187527 269.423135 \nL 367.257024 261.915218 \nL 367.465517 231.290008 \nL 367.535014 226.748346 \nL 367.604511 240.017499 \nL 367.743506 220.905903 \nL 367.951998 271.376522 \nL 368.021495 261.078053 \nL 368.229987 154.202829 \nL 368.299485 156.427889 \nL 368.438479 229.379439 \nL 368.577474 228.88777 \nL 368.646971 235.943882 \nL 368.785966 268.258189 \nL 369.133453 204.736937 \nL 369.272448 230.926793 \nL 369.341945 225.483 \nL 369.411442 199.936891 \nL 369.619934 260.933357 \nL 369.967421 195.782068 \nL 370.106416 222.478357 \nL 370.24541 212.357066 \nL 370.453902 272.117716 \nL 370.870887 193.518619 \nL 370.940384 210.148247 \nL 371.009881 208.423715 \nL 371.079379 195.801262 \nL 371.287871 267.703032 \nL 371.704855 185.476216 \nL 371.774352 217.589722 \nL 371.843849 214.443336 \nL 371.913347 190.968733 \nL 372.121839 269.80702 \nL 372.260834 256.148076 \nL 372.330331 258.404142 \nL 372.469326 244.480907 \nL 372.677818 258.3126 \nL 372.747315 237.331776 \nL 372.955807 273.818624 \nL 373.094802 242.493561 \nL 373.164299 259.000641 \nL 373.233796 252.061171 \nL 373.372791 215.100371 \nL 373.511786 260.923022 \nL 373.581283 237.094062 \nL 373.789775 273.468698 \nL 373.998267 254.909306 \nL 374.067765 258.885475 \nL 374.206759 245.448003 \nL 374.345754 261.103153 \nL 374.415251 238.402226 \nL 374.623743 268.565298 \nL 374.762738 255.414264 \nL 374.832235 267.707461 \nL 374.901733 267.146398 \nL 374.97123 248.536806 \nL 375.040727 253.335376 \nL 375.110225 259.228019 \nL 375.24922 237.686132 \nL 375.318717 244.762915 \nL 375.527209 274.379688 \nL 375.596706 257.004436 \nL 375.666204 266.882107 \nL 375.944193 254.086905 \nL 376.01369 257.34255 \nL 376.083188 255.383258 \nL 376.29168 276.643136 \nL 376.361177 275.825165 \nL 376.778161 235.004839 \nL 377.195145 275.552016 \nL 377.403637 238.672423 \nL 377.473135 226.39399 \nL 377.542632 232.635084 \nL 377.681627 241.192779 \nL 377.751124 236.262802 \nL 377.820621 236.815007 \nL 378.029113 271.296791 \nL 378.237605 239.803409 \nL 378.307103 229.730842 \nL 378.3766 230.97404 \nL 378.446098 231.721141 \nL 378.585092 237.306676 \nL 378.65459 231.719664 \nL 378.793584 265.429248 \nL 378.863082 265.073416 \nL 379.349563 222.90949 \nL 379.488558 230.925316 \nL 379.69705 267.589343 \nL 379.905542 135.073515 \nL 379.975039 136.549999 \nL 380.183531 214.577696 \nL 380.253029 217.95146 \nL 380.461521 267.511089 \nL 380.531018 263.477337 \nL 380.809007 136.549999 \nL 381.295489 256.942424 \nL 381.364986 255.344869 \nL 381.573478 138.026482 \nL 381.642976 146.88538 \nL 381.851468 215.011782 \nL 381.920965 209.888386 \nL 382.198954 265.14281 \nL 382.407446 129.167583 \nL 382.476944 130.644066 \nL 382.754933 220.273968 \nL 382.963425 264.459199 \nL 383.032923 259.837807 \nL 383.310912 151.139127 \nL 383.519404 219.404319 \nL 383.588901 217.362343 \nL 383.866891 264.691006 \nL 383.936388 258.401189 \nL 384.14488 190.21425 \nL 384.214377 191.934353 \nL 384.283875 224.393356 \nL 384.353372 219.187276 \nL 384.422869 219.87827 \nL 384.700859 274.658743 \nL 385.048346 231.012429 \nL 385.117843 233.06917 \nL 385.256838 226.184329 \nL 385.326335 229.04723 \nL 385.534827 265.113281 \nL 385.673822 241.157344 \nL 385.951811 199.569247 \nL 386.299298 260.093238 \nL 386.368795 259.38305 \nL 386.646785 142.455931 \nL 386.924774 220.293162 \nL 387.133266 267.559813 \nL 387.202763 259.307749 \nL 387.480753 140.979448 \nL 387.758742 216.886916 \nL 387.897737 244.74815 \nL 388.036732 266.905731 \nL 388.314721 185.290179 \nL 388.384218 190.017878 \nL 388.59271 220.439334 \nL 388.801202 248.423117 \nL 388.8707 244.485336 \nL 389.148689 194.122501 \nL 389.426679 223.814574 \nL 389.704668 268.329061 \nL 389.774165 259.48788 \nL 389.982657 224.493756 \nL 390.052155 231.693088 \nL 390.121652 229.902114 \nL 390.260647 199.551529 \nL 390.469139 263.998536 \nL 390.816625 212.48552 \nL 390.886123 192.322668 \nL 391.025118 221.760786 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216.517795 \nL 395.889932 203.848094 \nL 395.959429 220.375845 \nL 396.028927 213.473287 \nL 396.098424 198.001222 \nL 396.237419 239.181809 \nL 396.306916 254.039658 \nL 396.376413 246.797509 \nL 396.515408 207.057968 \nL 396.584905 214.555549 \nL 396.654403 211.257086 \nL 396.793397 183.407663 \nL 396.862895 205.57115 \nL 396.932392 201.354315 \nL 397.001889 203.50555 \nL 397.140884 263.780016 \nL 397.210382 250.56697 \nL 397.418874 185.185349 \nL 397.557868 171.012589 \nL 397.627366 199.585488 \nL 397.696863 197.860956 \nL 397.76636 184.519455 \nL 397.974852 263.902565 \nL 398.322339 168.557197 \nL 398.391836 170.960912 \nL 398.461334 197.370763 \nL 398.530831 182.92633 \nL 398.808821 255.155879 \nL 399.156307 185.832049 \nL 399.225805 186.852298 \nL 399.295302 211.533188 \nL 399.364799 210.196971 \nL 399.434297 195.283016 \nL 399.642789 255.203127 \nL 399.712286 241.369957 \nL 399.920778 191.922541 \nL 400.059773 176.720672 \nL 400.198768 212.237471 \nL 400.337762 192.142537 \nL 400.476757 259.923443 \nL 400.546254 247.997889 \nL 400.754746 176.240815 \nL 400.824244 188.894274 \nL 400.893741 171.35218 \nL 400.963238 222.445874 \nL 401.032736 221.379854 \nL 401.102233 195.160468 \nL 401.310725 255.173597 \nL 401.380222 250.159461 \nL 401.44972 228.726833 \nL 401.519217 231.191083 \nL 401.588714 233.101652 \nL 401.727709 204.890491 \nL 401.797207 205.643498 \nL 401.866704 227.028878 \nL 401.936201 211.457888 \nL 402.144693 260.546519 \nL 402.214191 257.987774 \nL 402.283688 260.525848 \nL 402.49218 223.587196 \nL 402.561677 223.751085 \nL 402.770169 229.596482 \nL 402.978661 264.986303 \nL 403.117656 219.209424 \nL 403.395646 163.813257 \nL 403.53464 204.144867 \nL 403.604138 194.990673 \nL 403.673635 206.570729 \nL 403.81263 259.617811 \nL 403.882127 253.620337 \nL 404.021122 196.684199 \nL 404.090619 202.646237 \nL 404.229614 170.615415 \nL 404.368608 218.642454 \nL 404.438106 195.585695 \nL 404.507603 208.967061 \nL 404.646598 262.387693 \nL 404.994085 193.145069 \nL 405.063582 195.353888 \nL 405.133079 223.959269 \nL 405.202577 222.190443 \nL 405.272074 200.785869 \nL 405.341571 203.707828 \nL 405.480566 264.308597 \nL 405.550063 246.989452 \nL 405.619561 194.804636 \nL 405.689058 209.765838 \nL 405.89755 173.084094 \nL 406.036545 214.657427 \nL 406.106042 180.262755 \nL 406.175539 185.555946 \nL 406.314534 259.883578 \nL 406.731518 172.652961 \nL 406.870513 218.73252 \nL 406.94001 206.727236 \nL 407.009508 207.050586 \nL 407.218 248.931027 \nL 407.356994 219.522438 \nL 407.426492 228.168723 \nL 407.634984 197.42687 \nL 407.704481 220.947244 \nL 407.843476 190.948062 \nL 407.98247 255.600301 \nL 408.051968 250.146172 \nL 408.190963 222.868149 \nL 408.26046 225.56273 \nL 408.468952 191.554897 \nL 408.538449 215.045742 \nL 408.607947 191.820664 \nL 408.677444 195.040873 \nL 408.816439 250.909514 \nL 408.885936 246.903816 \nL 409.024931 225.012002 \nL 409.094428 228.311941 \nL 409.233423 193.170169 \nL 409.30292 216.689067 \nL 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265.343612 \nL 420.561491 259.480498 \nL 420.769983 194.881413 \nL 420.83948 194.321826 \nL 420.908977 190.849138 \nL 420.978475 218.89198 \nL 421.047972 217.186642 \nL 421.117469 219.067681 \nL 421.325961 263.224859 \nL 421.395459 261.272948 \nL 421.603951 199.006707 \nL 421.673448 205.767522 \nL 421.742945 201.129889 \nL 421.812443 216.20921 \nL 421.88194 214.04321 \nL 421.951437 212.281765 \nL 422.15993 256.43599 \nL 422.229427 237.934181 \nL 422.437919 135.073515 \nL 422.507416 135.073515 \nL 422.646411 219.495861 \nL 422.715908 214.692862 \nL 422.854903 230.058621 \nL 422.993898 256.976383 \nL 423.063395 251.613796 \nL 423.410882 170.010057 \nL 423.549876 212.30096 \nL 423.688871 225.804873 \nL 423.897363 261.399926 \nL 424.105855 208.389756 \nL 424.175353 202.525166 \nL 424.522839 229.472457 \nL 424.661834 266.323997 \nL 424.731331 259.369762 \nL 425.078818 211.268898 \nL 425.148315 231.48638 \nL 425.217813 222.16239 \nL 425.28731 225.959904 \nL 425.356808 223.033515 \nL 425.5653 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151.382747 \nL 457.812069 229.90802 \nL 457.951064 254.544615 \nL 458.020561 242.898117 \nL 458.090059 256.911417 \nL 458.368048 145.408897 \nL 458.854529 254.522468 \nL 458.924027 252.068553 \nL 459.132519 133.597032 \nL 459.271513 162.102014 \nL 459.410508 220.158802 \nL 459.549503 237.188557 \nL 459.619 249.911411 \nL 459.688498 245.781688 \nL 459.757995 242.298665 \nL 460.035984 202.661002 \nL 460.174979 222.846001 \nL 460.244476 228.205635 \nL 460.313974 224.418456 \nL 460.452968 249.712086 \nL 460.522466 248.024466 \nL 460.591963 247.386626 \nL 460.800455 230.259423 \nL 460.869952 239.388517 \nL 460.93945 236.178643 \nL 461.008947 238.154177 \nL 461.078445 235.153964 \nL 461.356434 266.93969 \nL 461.425931 262.172126 \nL 461.703921 145.408897 \nL 462.051407 261.072147 \nL 462.190402 273.45098 \nL 462.259899 269.372934 \nL 462.537889 138.026482 \nL 462.607386 143.932414 \nL 462.885376 254.766088 \nL 463.02437 274.921557 \nL 463.093868 268.862071 \nL 463.232862 138.026482 \nL 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515.564365 240.771982 \nL 515.633863 235.616103 \nL 515.911852 104.067372 \nL 516.050847 211.270374 \nL 516.120344 206.124831 \nL 516.189842 180.216984 \nL 516.398334 246.921533 \nL 516.467831 230.578343 \nL 516.676323 120.308685 \nL 516.74582 117.355719 \nL 516.954312 214.76078 \nL 517.093307 221.712062 \nL 517.232302 244.218093 \nL 517.301799 234.319751 \nL 517.440794 118.832202 \nL 517.510291 120.308685 \nL 517.579789 132.120549 \nL 517.788281 215.200772 \nL 517.857778 220.956103 \nL 518.06627 257.31745 \nL 518.205265 216.474977 \nL 518.274762 215.242114 \nL 518.413757 192.617965 \nL 518.483254 175.551297 \nL 518.830741 233.466344 \nL 518.900238 237.745191 \nL 519.10873 219.054393 \nL 519.178228 184.453013 \nL 519.247725 203.545415 \nL 519.38672 225.686755 \nL 519.456217 225.790108 \nL 519.525714 236.308573 \nL 519.595212 232.788638 \nL 519.664709 232.620319 \nL 519.734206 242.505373 \nL 519.873201 181.607831 \nL 520.081693 123.261651 \nL 520.42918 235.088998 \nL 520.568175 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203.961784 \nL 526.266957 193.976329 \nL 526.475449 241.563376 \nL 526.614444 118.832202 \nL 526.683941 120.308685 \nL 526.753439 117.355719 \nL 527.031428 226.01601 \nL 527.23992 252.148283 \nL 527.309417 238.171895 \nL 527.587407 123.261651 \nL 527.795899 216.610814 \nL 527.865396 211.317622 \nL 528.143386 241.530894 \nL 528.212883 222.34695 \nL 528.351878 121.785168 \nL 528.421375 115.879236 \nL 528.699364 210.188112 \nL 528.907856 246.556842 \nL 528.977354 237.926799 \nL 529.185846 132.120549 \nL 529.255343 130.644066 \nL 529.463835 205.049952 \nL 529.533332 205.522426 \nL 529.741825 252.957396 \nL 529.811322 229.755942 \nL 529.880819 241.877867 \nL 530.089311 209.037932 \nL 530.158809 208.079695 \nL 530.367301 245.261966 \nL 530.436798 243.513811 \nL 530.506295 233.993448 \nL 530.575793 236.736754 \nL 530.64529 249.51719 \nL 530.714787 246.825562 \nL 530.853782 208.614182 \nL 530.923279 218.40474 \nL 531.062274 233.673051 \nL 531.131771 223.751085 \nL 531.201269 229.686547 \nL 531.270766 230.461701 \nL 531.340264 233.265542 \nL 531.409761 256.536391 \nL 531.479258 248.489558 \nL 531.757248 118.832202 \nL 532.035237 227.000825 \nL 532.243729 261.478179 \nL 532.591216 126.214617 \nL 532.869205 230.246134 \nL 533.077697 255.095343 \nL 533.147195 246.698584 \nL 533.355687 132.120549 \nL 533.425184 129.167583 \nL 533.633676 214.670715 \nL 533.911665 267.202504 \nL 533.981163 260.202498 \nL 534.189655 140.979448 \nL 534.259152 142.455931 \nL 534.537142 229.972985 \nL 534.745634 265.249117 \nL 534.815131 259.939684 \nL 535.023623 149.606538 \nL 535.09312 152.56098 \nL 535.301612 229.466551 \nL 535.579602 265.733403 \nL 535.649099 238.019817 \nL 535.718596 252.508545 \nL 535.927089 223.550284 \nL 536.274575 249.338536 \nL 536.344073 248.28728 \nL 536.41357 264.597988 \nL 536.483067 261.726229 \nL 536.622062 247.109047 \nL 536.691559 227.798125 \nL 536.761057 239.958439 \nL 536.830554 238.365314 \nL 536.900051 243.828301 \nL 536.969549 236.180119 \nL 537.317035 266.164536 \nL 537.525528 160.407011 \nL 537.595025 168.349013 \nL 537.873014 247.392531 \nL 538.081506 270.291307 \nL 538.151004 262.998957 \nL 538.428993 129.167583 \nL 538.637485 213.703618 \nL 538.845977 259.430297 \nL 538.915474 265.678774 \nL 538.984972 264.23182 \nL 539.193464 129.167583 \nL 539.262961 133.597032 \nL 539.471453 222.248026 \nL 539.749443 270.601368 \nL 539.81894 259.154195 \nL 540.027432 115.879236 \nL 540.096929 123.261651 \nL 540.235924 211.722178 \nL 540.374919 206.02443 \nL 540.513913 224.608922 \nL 540.583411 223.914975 \nL 540.652908 222.810566 \nL 540.930898 132.120549 \nL 541.13939 218.226086 \nL 541.208887 212.064722 \nL 541.417379 223.005461 \nL 541.486876 221.3267 \nL 541.556374 216.792421 \nL 541.625871 225.130121 \nL 541.695368 221.726827 \nL 541.764866 224.202889 \nL 541.834363 219.18137 \nL 541.90386 234.346328 \nL 541.973358 230.950417 \nL 542.112352 239.84918 \nL 542.18185 240.383667 \nL 542.251347 262.049578 \nL 542.320845 259.561704 \nL 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230.962228 \nL 548.575606 246.742879 \nL 548.645103 236.967085 \nL 548.923093 273.427356 \nL 548.99259 267.692696 \nL 549.201082 152.77507 \nL 549.270579 164.73163 \nL 549.340077 175.131976 \nL 549.548569 241.039225 \nL 549.757061 268.639122 \nL 549.826558 265.058651 \nL 550.03505 178.617953 \nL 550.174045 185.282797 \nL 550.382537 235.481743 \nL 550.452034 244.573925 \nL 550.591029 232.44757 \nL 550.799521 179.137675 \nL 550.869018 187.163836 \nL 550.938516 184.590326 \nL 551.008013 188.567972 \nL 551.216505 238.31659 \nL 551.286002 248.31681 \nL 551.841981 164.335932 \nL 552.050473 240.162194 \nL 552.189468 252.551363 \nL 552.39796 233.441243 \nL 552.536955 184.944682 \nL 552.675949 201.212572 \nL 552.884441 246.333893 \nL 552.953939 239.649855 \nL 553.162431 265.934205 \nL 553.301426 226.969818 \nL 553.370923 235.833146 \nL 553.509918 231.194036 \nL 553.787907 260.401823 \nL 553.857404 260.731079 \nL 553.996399 249.004851 \nL 554.065896 262.175079 \nL 554.135394 257.184567 \nL 554.204891 251.544402 \nL 554.343886 230.997664 \nL 554.76087 273.355009 \nL 554.830367 265.895817 \nL 555.038859 200.00038 \nL 555.177854 210.71374 \nL 555.247351 210.160059 \nL 555.386346 242.949794 \nL 555.455843 241.414252 \nL 555.594838 267.478606 \nL 555.664335 263.083116 \nL 555.80333 185.563329 \nL 555.942325 196.160047 \nL 556.150817 240.520979 \nL 556.220314 239.915621 \nL 556.498304 268.114971 \nL 556.706796 205.298001 \nL 556.84579 207.601314 \nL 557.054282 245.459815 \nL 557.262774 268.08987 \nL 557.332272 264.187526 \nL 557.610261 193.214464 \nL 557.818753 242.47289 \nL 557.888251 237.359829 \nL 558.096743 268.999384 \nL 558.16624 267.889069 \nL 558.444229 215.488686 \nL 558.513727 221.189387 \nL 558.652721 248.164732 \nL 558.722219 233.670098 \nL 558.791716 237.296341 \nL 559.000208 260.017938 \nL 559.139203 252.132042 \nL 559.278197 230.771762 \nL 559.417192 245.197001 \nL 559.48669 240.989025 \nL 559.764679 269.957621 \nL 559.903674 264.670336 \nL 560.112166 248.223791 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267.840345 \nL 577.347508 268.120876 \nL 577.486503 238.359408 \nL 577.625497 222.280508 \nL 578.111979 271.726448 \nL 578.181476 263.427137 \nL 578.459466 183.320551 \nL 578.528963 193.314865 \nL 578.737455 237.751097 \nL 578.945947 265.188581 \nL 579.015444 257.649659 \nL 579.293434 196.663528 \nL 579.362931 190.611424 \nL 579.571423 241.755319 \nL 579.710418 248.002319 \nL 579.779915 264.673289 \nL 579.849413 258.327365 \nL 580.127402 172.3429 \nL 580.544386 264.575841 \nL 580.613883 271.181626 \nL 580.683381 267.314717 \nL 580.96137 191.176917 \nL 581.030867 193.518619 \nL 581.23936 225.480047 \nL 581.447852 258.646285 \nL 581.517349 255.117491 \nL 581.725841 202.606372 \nL 581.864836 190.252639 \nL 582.073328 236.717559 \nL 582.28182 266.672447 \nL 582.351317 265.913534 \nL 582.559809 221.109657 \nL 582.629306 220.820267 \nL 582.907296 260.50813 \nL 582.976793 249.156929 \nL 583.115788 269.564877 \nL 583.185285 265.427771 \nL 583.32428 229.940502 \nL 583.810761 252.397809 \nL 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      "text/plain": [
       "<Figure size 864x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.plot(y='AvgRate',figsize=(12,5), title=\"AvgRate of network traffic data\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time series forecasting with _AutoTS_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_AutoTS_ provides AutoML support for building end-to-end time series analysis pipelines (including automatic feature generation, model selection and hyperparameter tuning).\n",
    "\n",
    "The general workflow using automated training contains below two steps. \n",
    "   1. create a ```AutoTSEstimator``` to train a ```TSPipeline```, save it to file to use later or elsewhere if you wish.\n",
    "   2. use ```TSPipeline``` to do prediction, evaluation, and incremental fitting as well. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Chronos uses [Orca](https://bigdl.readthedocs.io/en/latest/doc/Orca/Overview/orca.html) to enable distributed training and AutoML capabilities. Init orca as below. View [Orca Context](https://bigdl.readthedocs.io/en/latest/doc/Orca/Overview/orca-context.html) for more details. Note that argument ```init_ray_on_spark``` must be ```True``` for Chronos.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-05T09:42:51.917822Z",
     "start_time": "2020-04-05T09:42:34.581511Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initializing orca context\n",
      "Current pyspark location is : /home/liangs/spark/python/lib/pyspark.zip/pyspark/__init__.py\n",
      "Start to getOrCreate SparkContext\n",
      "pyspark_submit_args is:  --driver-class-path /home/liangs/analytics-zoo/zoo/target/analytics-zoo-bigdl_0.13.0-spark_2.4.6-0.12.0-SNAPSHOT-jar-with-dependencies.jar pyspark-shell \n",
      "Successfully got a SparkContext\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-09-09 02:05:06,670\tINFO services.py:1174 -- View the Ray dashboard at \u001b[1m\u001b[32mhttp://10.239.44.67:8265\u001b[39m\u001b[22m\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'node_ip_address': '10.239.44.67', 'raylet_ip_address': '10.239.44.67', 'redis_address': '10.239.44.67:6379', 'object_store_address': '/tmp/ray/session_2021-09-09_02-05-06_071746_762/sockets/plasma_store', 'raylet_socket_name': '/tmp/ray/session_2021-09-09_02-05-06_071746_762/sockets/raylet', 'webui_url': '10.239.44.67:8265', 'session_dir': '/tmp/ray/session_2021-09-09_02-05-06_071746_762', 'metrics_export_port': 41602, 'node_id': 'c6d1acec26893328620736d21c7cad919cd87d3ba019a3d66d32fdd5'}\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <div>\n",
       "            <p><b>SparkContext</b></p>\n",
       "\n",
       "            <p><a href=\"http://rose-X299-AORUS-Gaming-3-Pro.sh.intel.com:4040\">Spark UI</a></p>\n",
       "\n",
       "            <dl>\n",
       "              <dt>Version</dt>\n",
       "                <dd><code>v2.4.3</code></dd>\n",
       "              <dt>Master</dt>\n",
       "                <dd><code>local[10]</code></dd>\n",
       "              <dt>AppName</dt>\n",
       "                <dd><code>pyspark-shell</code></dd>\n",
       "            </dl>\n",
       "        </div>\n",
       "        "
      ],
      "text/plain": [
       "<SparkContext master=local[10] appName=pyspark-shell>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from bigdl.orca import init_orca_context\n",
    "init_orca_context(cores=10, init_ray_on_spark=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we initialize a `AutoTSEstimator`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-05T09:42:53.144776Z",
     "start_time": "2020-04-05T09:42:51.919760Z"
    }
   },
   "outputs": [],
   "source": [
    "from bigdl.chronos.autots import AutoTSEstimator, TSPipeline\n",
    "import torch\n",
    "import bigdl.orca.automl.hp as hp\n",
    "auto_estimator = AutoTSEstimator(model='lstm',\n",
    "                                 search_space=\"normal\",\n",
    "                                 past_seq_len=hp.randint(50, 100),\n",
    "                                 future_seq_len=1,\n",
    "                                 metric=\"mse\",\n",
    "                                 cpus_per_trial=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need to split the data frame into train, validation and test data frame before training.\n",
    "\n",
    "Then we impute the data to handle missing data and scale the data.\n",
    "\n",
    "You can use [TSDataset](https://bigdl.readthedocs.io/en/latest/doc/PythonAPI/Chronos/tsdataset.html) as an easy way to finish it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-05T09:44:56.311570Z",
     "start_time": "2020-04-05T09:44:56.298100Z"
    }
   },
   "outputs": [],
   "source": [
    "from bigdl.chronos.data import TSDataset\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "tsdata_train, tsdata_val, tsdata_test = TSDataset.from_pandas(df, \n",
    "                                                              dt_col=\"StartTime\", \n",
    "                                                              target_col=\"AvgRate\", \n",
    "                                                              with_split=True, \n",
    "                                                              val_ratio=0.1, \n",
    "                                                              test_ratio=0.1)\n",
    "standard_scaler = StandardScaler()\n",
    "for tsdata in [tsdata_train, tsdata_val, tsdata_test]:\n",
    "    tsdata.gen_dt_feature(one_hot_features=[\"HOUR\", \"WEEKDAY\"])\\\n",
    "          .impute(mode=\"last\")\\\n",
    "          .scale(standard_scaler, fit=(tsdata is tsdata_train))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we fit on train data and evaluate on validation data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-05T09:48:03.575923Z",
     "start_time": "2020-04-05T09:45:31.368537Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "== Status ==<br>Memory usage on this node: 4.8/125.5 GiB<br>Using FIFO scheduling algorithm.<br>Resources requested: 0/10 CPUs, 0/0 GPUs, 0.0/76.76 GiB heap, 0.0/25.44 GiB objects<br>Current best trial: 8359a_00023 with mse=0.06970344508302838 and parameters={'hidden_dim': 64, 'layer_num': 2, 'lr': 0.0019337279588751044, 'dropout': 0.13089049120770166, 'input_feature_num': None, 'output_feature_num': 1, 'past_seq_len': 97, 'future_seq_len': 1, 'selected_features': ['HOUR_0', 'WEEKDAY_4', 'DAY', 'WEEKDAY_0', 'HOUR_10', 'HOUR_7'], 'batch_size': 128}<br>Result logdir: /tmp/autots_estimator/autots_estimator<br>Number of trials: 24/24 (24 TERMINATED)<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-07-20 21:49:13,129\tINFO tune.py:450 -- Total run time: 323.66 seconds (323.60 seconds for the tuning loop).\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 30.9 s, sys: 5.12 s, total: 36 s\n",
      "Wall time: 5min 25s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "ts_pipeline = auto_estimator.fit(data=tsdata_train,\n",
    "                   epochs=20,\n",
    "                   batch_size=128,\n",
    "                   validation_data=tsdata_val,\n",
    "                   n_sampling=24)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We get a `TSPipeline` after training. Let's print the hyper paramters selected.\n",
    "Note that `past_seq_len` is the lookback value that is automatically chosen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-04-05T09:48:10.610297Z",
     "start_time": "2020-04-05T09:48:10.607153Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'hidden_dim': 64,\n",
       " 'layer_num': 2,\n",
       " 'lr': 0.0019337279588751044,\n",
       " 'dropout': 0.13089049120770166,\n",
       " 'input_feature_num': 7,\n",
       " 'output_feature_num': 1,\n",
       " 'past_seq_len': 97,\n",
       " 'future_seq_len': 1,\n",
       " 'selected_features': ['HOUR_0',\n",
       "  'WEEKDAY_4',\n",
       "  'DAY',\n",
       "  'WEEKDAY_0',\n",
       "  'HOUR_10',\n",
       "  'HOUR_7'],\n",
       " 'batch_size': 128}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_config = auto_estimator.get_best_config()\n",
    "best_config"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We use tspipeline to predict and evaluate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = ts_pipeline.predict(tsdata_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "plot actual and prediction values for `AvgRate` KPI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the predicted values and actual values\n",
    "lookback = best_config['past_seq_len']\n",
    "plt.figure(figsize=(16,6))\n",
    "test_df = tsdata_test.unscale().to_pandas()\n",
    "tsdata_test.scale(standard_scaler, fit=False)\n",
    "plt.plot(test_df.StartTime[lookback - 1:], y_pred[:,0,0], color='red', label='predicted values')\n",
    "plt.plot(test_df.StartTime[lookback - 1:], test_df.AvgRate[lookback - 1:], color='blue', label='actual values')\n",
    "plt.title('the predicted values and actual values (for the test data)')\n",
    "plt.xlabel('datetime')\n",
    "plt.legend(loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate mean square error and the symetric mean absolute percentage error."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluate: the mean square error is 3167.0167139018245\n",
      "Evaluate: the smape value is 6.501248516618755\n"
     ]
    }
   ],
   "source": [
    "mse, smape = ts_pipeline.evaluate(tsdata_test, metrics=[\"mse\", \"smape\"])\n",
    "print(\"Evaluate: the mean square error is\", mse)\n",
    "print(\"Evaluate: the smape value is\", smape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can save the pipeline to file and reload it to do incremental fitting or others."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save pipeline file\n",
    "my_ppl_file_path = \"/tmp/saved_pipeline\"\n",
    "ts_pipeline.save(my_ppl_file_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can stop the orca context after auto training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stopping orca context\n"
     ]
    }
   ],
   "source": [
    "from bigdl.orca import stop_orca_context\n",
    "stop_orca_context()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we demonstrate how to do incremental fitting with your saved pipeline file."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First load saved pipeline file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_ts_pipeline = TSPipeline.load(my_ppl_file_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then do incremental fitting with TSPipeline.fit(). We use validation data frame as additional data for demonstration. You can use your new data frame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loss: 0.10407675057649612: 100%|██████████| 7/7 [00:00<00:00, 10.75it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "{'mse': 0.066656421048076}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_ts_pipeline.fit(tsdata_val)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "predict and plot the result after incremental fitting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# predict results of test_df\n",
    "y_pred = new_ts_pipeline.predict(tsdata_test)\n",
    "lookback = best_config['past_seq_len']\n",
    "plt.figure(figsize=(16,6))\n",
    "test_df = tsdata_test.unscale().to_pandas()\n",
    "tsdata_test.scale(standard_scaler, fit=False)\n",
    "plt.plot(test_df.StartTime[lookback - 1:], y_pred[:,0,0], color='red', label='predicted values')\n",
    "plt.plot(test_df.StartTime[lookback - 1:], test_df.AvgRate[lookback - 1:], color='blue', label='actual values')\n",
    "plt.title('the predicted values and actual values (for the test data)')\n",
    "plt.xlabel('datetime')\n",
    "plt.legend(loc='upper left')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate mean square error and the symetric mean absolute percentage error."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Evaluate: the mean square error is 3411.7051506539765\n",
      "Evaluate: the smape value is 6.365709178616939\n"
     ]
    }
   ],
   "source": [
    "mse, smape = new_ts_pipeline.evaluate(tsdata_test, metrics=[\"mse\", \"smape\"])\n",
    "print(\"Evaluate: the mean square error is\", mse)\n",
    "print(\"Evaluate: the smape value is\", smape)"
   ]
  }
 ],
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  "interpreter": {
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "pygments_lexer": "ipython3",
   "version": "3.6.10"
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  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
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   "skip_h1_title": true,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
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   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
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 "nbformat": 4,
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